In recent years, novel mobile applications such as augmented reality, virtual reality, and three‐dimensional gaming, running on handy mobile devices have been pervasively popular. With rapid developments of such mobile applications, decentralized mobile edge computing (MEC) as an emerging distributed computing paradigm is developed for serving them near the smart devices, usually in one hop, to meet their computation, and delay requirements. In the literature, offloading mechanisms are designed to execute such mobile applications in the MEC environments through transferring resource‐intensive tasks to the MEC servers. On the other hand, due to the resource limitations, resource heterogeneity, dynamic nature, and unpredictable behavior of MEC environments, it is necessary to consider the computation offloading issues as the challenging problem in the MEC environment. However, to the best of our knowledge, despite its importance, there is not any systematic, comprehensive, and detailed survey in game theory (GT)‐based computation offloading mechanisms in the MEC environment. In this article, we provide a systematic literature review on the GT‐based computation offloading approaches in the MEC environment in the form of a classical taxonomy to recognize the state‐of‐the‐art mechanisms on this important topic and to provide open issues as well. The proposed taxonomy is classified into four main fields: classical game mechanisms, auction theory, evolutionary game mechanisms, and hybrid‐base game mechanisms. Next, these classes are compared with each other according to the important factors such as performance metrics, case studies, utilized techniques, and evaluation tools, and their advantages and disadvantages are discussed, as well. Finally, open issues and future uncovered or weakly covered research challenges are discussed and the survey is concluded.

中文翻译：

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移动边缘计算中的计算卸载方法综述：博弈论视角

近年来，在手持移动设备上运行的增强现实、虚拟现实和三维游戏等新型移动应用程序已普遍流行。随着此类移动应用的快速发展，分散式移动边缘计算（MEC）作为一种新兴的分布式计算范式被开发用于在智能设备附近为它们提供服务，通常在一跳中，以满足它们的计算和延迟要求。在文献中，卸载机制旨在通过将资源密集型任务转移到 MEC 服务器来在 MEC 环境中执行此类移动应用程序。另一方面，由于 MEC 环境的资源限制、资源异质性、动态性和不可预测的行为，有必要将计算卸载问题视为 MEC 环境中的挑战性问题。然而，据我们所知，尽管它很重要，但在 MEC 环境中基于博弈论 (GT) 的计算卸载机制没有任何系统、全面和详细的调查。在本文中，我们以经典分类法的形式提供了关于 MEC 环境中基于 GT 的计算卸载方法的系统文献综述，以认识到这一重要主题的最新机制，并提供开放问题作为出色地。拟议的分类法分为四个主要领域：经典博弈机制、拍卖理论、进化博弈机制和混合基础博弈机制。下一个，根据性能指标、案例研究、使用的技术和评估工具等重要因素对这些类进行了比较，并讨论了它们的优缺点。最后，讨论了未解决的问题和未来未发现或未覆盖的研究挑战，并结束调查。